Xovis Api Documentation Jun 2026

The Data Push feature is the most commonly used method for getting aggregated data out of a Xovis sensor. It is configured directly in the sensor's WebUI and allows the sensor to act as a client, sending data to a remote server.

"elementId": "zone_checkout_1", "elementName": "Registers Queue", "currentOccupancy": 8, "averageDwellTimeSeconds": 45.2 Use code with caution. C. Device Status and Health ( /system )

Avoid spamming the API for historical data. Fetch historical data once daily or hourly and store it in your local database (PostgreSQL, InfluxDB, etc.). xovis api documentation

The Xovis API provides programmatic access to the Xovis Passenger Counting and Analytics Platform. It allows third-party applications, BI tools, and management dashboards to retrieve real-time and historical data regarding people counts, queue times, and occupancy levels.

Xovis data analytics engines provide precise, real-time people counting and flow analysis through 3D sensor technology. Leveraging the Xovis API allows you to extract this powerful spatial intelligence data and seamlessly integrate it into your own business intelligence dashboards, retail analytics systems, or smart building platforms. The Data Push feature is the most commonly

Accessible directly on the individual sensor via HTTP/HTTPS. Ideal for localized, real-time data retrieval or direct device configuration.

The is more than a technical manual; it is the bridge between high-fidelity sensor data and your digital ecosystem. By mastering the authentication flows, understanding the difference between occupancy and queue endpoints, and respecting rate limits and timezone nuances, you can build systems that automatically adjust HVAC based on crowding, trigger staffing alerts for long queues, or generate ROI reports for retail footfall. The Xovis API provides programmatic access to the

GET /data/count

Treat the sensor data payload as read-only. Parse timestamps carefully, converting the UTC strings provided by the sensor into your local system's time zone.